UNLABELLED: THE OBJECTIVE of this descriptive study was to define the at-risk occlusal surface to guide the practitioner in the decision of whether to seal or not. METHOD: All dentists affiliated with the French Society of Pediatric Odontology (SFOP) and general practitioners (GP) registered in postgraduate courses in three French dental schools answered the same questionnaire illustrating four occlusal surfaces of permanent molars. It was focused on obtaining an optimal definition of an at-risk occlusal surface. The corresponding four molars were later sectioned to check the answers. Univariate logistic regression analyses and multivariate logistic regression models were tested to identify the factors associated with the at-risk occlusal surface. RESULTS: Eighty-six SFOP dentists and 136 GP filled in the form. Multivariate logistic regression models stratified by type of practice demonstrated that stained fissures (p =0.001) were only associated with at-risk occlusal surface among GP and the morphology of primary fissure (p=0.001) when considering SFOP dentists alone. The multivariate analyses demonstrated that stained fissures, and primary and secondary fissures were linked to the perception of an at-risk occlusal surface. CONCLUSION: An at-risk occlusal surface has narrow and deep primary fissures. Numerous secondary fissures could increase the risk. The coloration of fissures should not be used in the definition because it depends on tooth integrity.
UNLABELLED: THE OBJECTIVE of this descriptive study was to define the at-risk occlusal surface to guide the practitioner in the decision of whether to seal or not. METHOD: All dentists affiliated with the French Society of Pediatric Odontology (SFOP) and general practitioners (GP) registered in postgraduate courses in three French dental schools answered the same questionnaire illustrating four occlusal surfaces of permanent molars. It was focused on obtaining an optimal definition of an at-risk occlusal surface. The corresponding four molars were later sectioned to check the answers. Univariate logistic regression analyses and multivariate logistic regression models were tested to identify the factors associated with the at-risk occlusal surface. RESULTS: Eighty-six SFOP dentists and 136 GP filled in the form. Multivariate logistic regression models stratified by type of practice demonstrated that stained fissures (p =0.001) were only associated with at-risk occlusal surface among GP and the morphology of primary fissure (p=0.001) when considering SFOP dentists alone. The multivariate analyses demonstrated that stained fissures, and primary and secondary fissures were linked to the perception of an at-risk occlusal surface. CONCLUSION: An at-risk occlusal surface has narrow and deep primary fissures. Numerous secondary fissures could increase the risk. The coloration of fissures should not be used in the definition because it depends on tooth integrity.
Authors: Miguel Ángel Fernández-Barrera; Edith Lara-Carrillo; Rogelio José Scougall-Vilchis; América Patricia Pontigo-Loyola; Leticia Ávila-Burgos; Juan Fernando Casanova-Rosado; Alejandro José Casanova-Rosado; Mirna Minaya-Sánchez; Carlo Eduardo Medina-Solís Journal: Medicine (Baltimore) Date: 2019-07 Impact factor: 1.817